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<div class="title">pcl::ProgressiveSampleConsensus&lt; PointT &gt; 成员列表</div>  </div>
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<p>成员的完整列表，这些成员属于 <a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a>,包括所有继承而来的类成员</p>
<table class="directory">
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html#a34454e62b3ddbd4c9e5da601a7ced3b8">computeModel</a>(int debug_verbosity_level=0)</td><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">virtual</span></td></tr>
  <tr bgcolor="#f0f0f0"><td class="entry"><b>ConstPtr</b> typedef (定义于 <a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a>)</td><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a></td><td class="entry"></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a575ab4a3facfdc8e007f427a96798d7d">getDistanceThreshold</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a7ac2013afb3a2feaaeb661f3aa3ccf6b">getInliers</a>(std::vector&lt; int &gt; &amp;inliers)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aa5c7f23a52dc184d8cc56790d63d375a">getMaxIterations</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#ae09f01cda7605910955b0aee847ea849">getModel</a>(std::vector&lt; int &gt; &amp;model)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a9f55f89ee72539f66f7edc8bcf6ce0c2">getModelCoefficients</a>(Eigen::VectorXf &amp;model_coefficients)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#afafb66faf0cbfa464cd884127bafdac3">getProbability</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a56b0649ebe9cd4b8a48442f864f5e83c">getRandomSamples</a>(const boost::shared_ptr&lt; std::vector&lt; int &gt; &gt; &amp;indices, size_t nr_samples, std::set&lt; int &gt; &amp;indices_subset)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a1a101dfdcc9098f463db135a7655a438">getSampleConsensusModel</a>() const</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a0115926eadf78f7bc1ad4675659d8343">inliers_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a471e062f42e9cb4ae9d77107cc135acb">iterations_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#ab5ca8dbf21b2a1c6ed9c1e8d3eba853c">max_iterations_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a0e04da16522ae180cb8cc2e6ef0d2244">model_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a96f852dfca500689684313d3cb7f84b1">model_coefficients_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a025913cc2a2099a553fe7842aa792326">probability_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html#ad334b9f637417a9778ac70b6a8528346">ProgressiveSampleConsensus</a>(const SampleConsensusModelPtr &amp;model)</td><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html#a3534bbd0ba6641b964238e1604d4f6b2">ProgressiveSampleConsensus</a>(const SampleConsensusModelPtr &amp;model, double threshold)</td><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>Ptr</b> typedef (定义于 <a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a>)</td><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a></td><td class="entry"></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#af7c059e9ee5b5180bb7fb02b0d947c36">refineModel</a>(const double sigma=3.0, const unsigned int max_iterations=1000)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a7a731d68a379a0a6442deae93e85d3a8">rnd</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aa23f804b4957312659adca2068e05682">rng_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a3860965324830148970ba99223663aa2">rng_alg_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aa4953d080c1ab4223cde8ff8d8cabc52">sac_model_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#ad113bbc7fe758479a315bc5108324336">SampleConsensus</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">private</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aee8d85e0b1062f5e18d43609e6ac59bf">SampleConsensus</a>(const SampleConsensusModelPtr &amp;model, bool random=false)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aac4937e9bc2a8acf15ae97c7d763090a">SampleConsensus</a>(const SampleConsensusModelPtr &amp;model, double threshold, bool random=false)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr bgcolor="#f0f0f0"><td class="entry"><b>SampleConsensusModelPtr</b> typedef (定义于 <a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a>)</td><td class="entry"><a class="el" href="classpcl_1_1_progressive_sample_consensus.html">pcl::ProgressiveSampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">private</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#ae1a06ccc992dfc9e65e70f5876f3c8d3">setDistanceThreshold</a>(double threshold)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#af8558bc2462b6da4a2f88b2efc1ad571">setMaxIterations</a>(int max_iterations)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#acd6b8031622746d8b6aada91ffbaa7ee">setProbability</a>(double probability)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aca6f09bf3c664bfed2ae36e81909e9f2">setSampleConsensusModel</a>(const SampleConsensusModelPtr &amp;model)</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
  <tr class="even"><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#aa1c52d7d8be8f058feac1f9241bf305e">threshold_</a></td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">protected</span></td></tr>
  <tr><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html#a138ae225b2d724491a7abdfcfd2b4de5">~SampleConsensus</a>()</td><td class="entry"><a class="el" href="classpcl_1_1_sample_consensus.html">pcl::SampleConsensus&lt; PointT &gt;</a></td><td class="entry"><span class="mlabel">inline</span><span class="mlabel">virtual</span></td></tr>
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